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source: trunk/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Classification/ClassificationProblem.cs @ 7911

Last change on this file since 7911 was 7823, checked in by sforsten, 13 years ago

#1784: merge branch ProblemInstancesRegressionAndClassification into trunk

File size: 1.7 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
22using HeuristicLab.Common;
23using HeuristicLab.Core;
24using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
25
26namespace HeuristicLab.Problems.DataAnalysis {
27  [StorableClass]
28  [Item("Classification Problem", "A general classification problem.")]
29  [Creatable("Problems")]
30  public class ClassificationProblem : DataAnalysisProblem<IClassificationProblemData>, IClassificationProblem, IStorableContent {
31    public string Filename { get; set; }
32
33    [StorableConstructor]
34    protected ClassificationProblem(bool deserializing) : base(deserializing) { }
35    protected ClassificationProblem(ClassificationProblem original, Cloner cloner) : base(original, cloner) { }
36    public override IDeepCloneable Clone(Cloner cloner) { return new ClassificationProblem(this, cloner); }
37
38    public ClassificationProblem()
39      : base() {
40      ProblemData = new ClassificationProblemData();
41    }
42  }
43}
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